Models trained on larger pools of data outside of permissively licensed open source code can offer superior performance, but they also introduce risks of IP and copyright violations.
Tabnine's Code Provenance and Attribution capability addresses the potential compliance issues enterprises face when using advanced AI models for software development.
With copyright laws regarding AI-generated content still unsettled, Tabnine's proactive approach aims to mitigate the risk of IP infringement.
Future features will allow users to identify specific repositories for code checks and include functions to remove matching code before developers view it.
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